Rao, Bhaskar D.

12 publications

NeurIPS 2022 Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions Kuan-Lin Chen, Harinath Garudadri, Bhaskar D Rao

NeurIPS 2021 ResNEsts and DenseNEsts: Block-Based DNN Models with Improved Representation Guarantees Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, Bhaskar D Rao

CVPR 2012 Sparse Bayesian Multi-Task Learning for Predicting Cognitive Outcomes from Neuroimaging Measures in Alzheimer's Disease Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen

CVPRW 2009 Hierarchical Audio-Visual Cue Integration Framework for Activity Analysis in Intelligent Meeting Rooms Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. Rao

NeurIPS 2006 Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization Rey Ramírez, Jason Palmer, Scott Makeig, Bhaskar D. Rao, David P. Wipf

NeurIPS 2005 Comparing the Effects of Different Weight Distributions on Finding Sparse Representations Bhaskar D. Rao, David P. Wipf

CVPR 2005 Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning Joel C. McCall, Mohan M. Trivedi, David P. Wipf, Bhaskar D. Rao

CVPRW 2005 Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning Joel C. McCall, Mohan M. Trivedi, David P. Wipf, Bhaskar D. Rao

NeurIPS 2005 Variational EM Algorithms for Non-Gaussian Latent Variable Models Jason Palmer, Kenneth Kreutz-Delgado, Bhaskar D. Rao, David P. Wipf

NeurIPS 2004 ℓ₀-Norm Minimization for Basis Selection David P. Wipf, Bhaskar D. Rao

NeCo 2003 Dictionary Learning Algorithms for Sparse Representation Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski

NeurIPS 2003 Perspectives on Sparse Bayesian Learning Jason Palmer, Bhaskar D. Rao, David P. Wipf